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/enumerate-dimension-values

Enumerate meaningful values/levels for a dimension or factor. Mode controls representative, experimental, boundary, pathological, or adversarial coverage.

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$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-dimension-values --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/enumerate-dimension-values

Context preview

The summary Claude sees to decide when to auto-load this skill.

Enumerate meaningful values/levels for a dimension or factor. Mode controls representative, experimental, boundary, pathological, or adversarial coverage.

SKILL.md

enumerate-dimension-values.SKILL.md
name: enumerate-dimension-values
description: "Enumerate meaningful values/levels for a dimension or factor. Mode controls representative, experimental, boundary, pathological, or adversarial coverage."

enumerate-dimension-values

Purpose

Enumerate meaningful values or levels for a dimension or factor, including representative, experimental, boundary, pathological, or adversarial coverage.

Input contract

required: [dimensions, value_schema, mode]
optional: [ranges, spacing_strategy, domain_constraints, baseline_values]
constraints: [values are typed to the dimension; mode determines representative, experimental, boundary, pathological, or adversarial coverage]

Procedure

1. Validate each dimension's type, range, units, and constraints. 2. Generate representative values and caller-requested boundary or extreme values. 3. For experimental mode, apply the supplied spacing strategy and preserve factor comparability. 4. Deduplicate and annotate rationale, provenance, and expected coverage. 5. Return the value set per dimension.

If the dimension values are ready for controlled combination, consider `construct-design-matrix` as the next tactic. If the values define plausible perturbations around a conclusion, consider `assess-sensitivity` as the next tactic.

Output contract

produces: [dimension_value_sets, boundary_cases, spacing_annotations, coverage_rationale]
delta_fields: [findings, evidence_updates, decisions, uncertainties]

Quality gates

  • Preserve the source representative enumeration of 3-5 values per parameter when that mode is selected.
  • Preserve experimental factor levels of 2-5 levels with an explicit spacing strategy.
  • Boundary/extreme mode must include the caller-defined boundary, pathological, distribution-shift, rare-combination, or scale-extreme cases; do not invent a fixed case count.

Parameterization

The caller must provide dimensions and types, valid ranges and units, enumeration mode, spacing strategy, baseline values, and domain constraints. If experimental mode is used, provide factor roles and the intended comparison design.

Failure and counterexamples

Reject values outside declared domains, levels without units or semantics, or pathological cases presented as representative defaults.

Provenance map

  • resolved: creative-ideation/value-enumeration
  • resolved: stress-test/extreme-value-generation
  • resolved: deep-insight/edge-case-generation
  • resolved: experiment-execution/level-specification
  • intermediate: Pass3/enumerate-values
  • intermediate: Pass3/generate-extreme-values
  • intermediate: Pass3/specify-factor-levels

Verbatim source criteria excerpts

  • `value-enumeration` line 14: Enumerate 3-5 meaningful values per parameter, ensuring coverage of boundary and extreme values.

Preserved source criteria ledger

| source | physical line | kind | source criterion | |---|---:|---|---| | creative-ideation/value-enumeration | 11 | numeric | Enumerate 3-5 values per parameter, including extremes. | | experiment-execution/level-specification | 12 | numeric | Experimental factor levels use 2-5 levels and an explicit spacing strategy. |

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The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Repo: yogsoth-ai/de-anthropocentric-research-engine